Micro-Star International Co., Ltd. MS-7E12
Geekbench AI Score
13821
Single Precision Score
13814
Half Precision Score
33366
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | August 28 2025 05:41 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | OpenVINO |
| Backend | CPU |
| Device | AMD Ryzen 9 9950X3D 16-Core Processor |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Home (64-bit) |
| Model | Micro-Star International Co., Ltd. MS-7E12 |
| Motherboard | Micro-Star International Co., Ltd. MAG X670E TOMAHAWK WIFI (MS-7E12) |
| Power Plan | Ausbalanciert |
| CPU Information | |
|---|---|
| Name | AMD Ryzen 9 9950X3D |
| Topology | 1 Processor, 16 Cores, 32 Threads |
| Identifier | AuthenticAMD Family 26 Model 68 Stepping 0 |
| Base Frequency | 4.30 GHz |
| Cluster 1 | 16 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6336
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6928
1.29 KIPS |
|
|
Image Classification (Q)
|
100% |
17768
3.30 KIPS |
|
|
Image Segmentation (SP)
|
100% |
8805
142.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9733
157.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
25180
408.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
29826
34.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
30693
35.8 IPS |
|
|
Pose Estimation (Q)
|
98% |
121920
142.7 IPS |
|
|
Object Detection (SP)
|
100% |
8075
640.5 IPS |
|
|
Object Detection (HP)
|
100% |
7735
613.5 IPS |
|
|
Object Detection (Q)
|
88% |
20008
1.60 KIPS |
|
|
Face Detection (SP)
|
100% |
18641
221.5 IPS |
|
|
Face Detection (HP)
|
100% |
16608
197.3 IPS |
|
|
Face Detection (Q)
|
100% |
49106
583.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
24927
192.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
23412
180.4 IPS |
|
|
Depth Estimation (Q)
|
88% |
67513
525.5 IPS |
|
|
Style Transfer (SP)
|
100% |
77293
99.4 IPS |
|
|
Style Transfer (HP)
|
100% |
78401
100.8 IPS |
|
|
Style Transfer (Q)
|
98% |
278497
359.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
14195
524.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
14075
519.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
39346
1.46 KIPS |
|
|
Text Classification (SP)
|
100% |
4559
6.09 KIPS |
|
|
Text Classification (HP)
|
100% |
4549
6.07 KIPS |
|
|
Text Classification (Q)
|
92% |
5427
7.29 KIPS |
|
|
Machine Translation (SP)
|
100% |
8144
140.3 IPS |
|
|
Machine Translation (HP)
|
100% |
8102
139.6 IPS |
|
|
Machine Translation (Q)
|
100% |
7949
136.9 IPS |
